Dell Technologies World 2018 – Wednesday General Session – Technologies & Trends That Are Changing The World – Rough Notes

Disclaimer: I recently attended Dell Technologies World 2018. My flights, accommodation and conference pass were paid for by Dell Technologies via the Press, Analysts and Influencers program. There is no requirement for me to blog about any of the content presented and I am not compensated in any way for my time at the event. Some materials presented were discussed under NDA and don’t form part of my blog posts, but could influence future discussions.

<Eddie Vedder Voice> This one’s called longest title in the Dell Technologies World catalogue </Eddie Vedder Voice>

Here are my rough notes from Wednesday’s General Session – Technologies & Trends That Are Changing The World – at Dell Technologies World.

Allison Dew takes the stage. Data is the rocket fuel of our economy. The people in this room have always known that. We’re seeing emerging technologies like AI, ML, IoT, Blockchain becoming more mainstream. That’s enabling us to really unlock the power and the possibility of all that data. Data as the lifeblood of the economy – the next business revolution.

Walmart have reduced the time it takes to identify the source of food contamination from 7 days to seconds; and

NASDAQ can now identify potential fraud in realtime.

Using data combined with emerging technology to really unlock business potential. This will drive top-line growth, reduce costs, improving the bottom line. PWC think AI will contribute $16 Trillion to the global economy.

Dew then introduces Ashton Kutcher as an entrepreneur, and someone who asks “[h]ow do we use data for social good?”.

AK: There’s a lot of people here.

AD: It’s 10am on a Wednesday morning in Vegas, yeah.

AK: When I’m in Vegas I’m not usually up at 10.

AD: So you’re primarily known as an actor, and also a successful investor. How did you get into that?

AK: I was acting on “That 70s Show“. I was a Biochem engineering major in college. I left and became a model. I had a lot of extra time on the show as it was a large cast. I started producing reality TV. I started a production company. I started to see the buffering speeds for video improving on-line. We pivoted to be a digital media company. Needed to be able to measure and quantify distribution. Trying to quantify creativity. Elements in content that would increase distribution. Platforms that could measure that. If you could measure it you could improve it. Technology was a better way than hiring people. Started investing in foursquare, Skype, … Partnered with some people and started a VC firm. Started a new fund called Sound Ventures.

AD: What do you look for in terms of characteristics? In terms of transformation?

AK: It starts with a counter-intuitive thesis of some sort. The more I invest the more I realise the value of the company. You need to look at things in a different way. There are already so many giants in the market. If it’s really different, they might be able to get a head start.

AD: Example?

AK: Airbnb is counter-intuitive. Letting a stranger stay at your house is weird. But it works. They realised quickly from a personal data set that it worked. As the clients grow, the trust in the platform grows and becomes more valuable. Counter-intuitive ideology is core and key. Built off some data set that someone doesn’t have. It’s all about the team, the founders, their expertise. They have to have some edge. Everyone’s going to try and copy them. They need to be determined to walk though walls on behalf of their idea.

AD: So you spend some time getting to know them?

AK: I try to work out if I would I go work for that person. I don’t have a lot of spare time, but during the cycle I sometimes consider quitting my job and going to work for them.

AD: We talk about unintended consequences. Who knew the doorbell industry needed to be disrupted?

AK: I did. I met with the Ring founder when it was still a hardware play. I really don’t need this. Now I have one. That’s the other trick. When it was doormat it was really immature. And hardware is really hard, as you all know. I wasn’t a huge Amazon user at the time. I don’t buy very much. I didn’t understand how or if the next consumer was going to benefit from the previous user’s behaviour.

AD: Putting IoT on ice machines. Sometimes its about protection – insurance. Suddenly those ice trucks started using less salt. Is there anything you’re looking at now?

AK: I made a small investment in a company that does motorised scooters. People are upset because these scooters are ending up everywhere. How many times do you see cars everywhere and think, wow, these cars are a problem? Wouldn’t it be better if it was scooters? This is one of those early fights and people are going to realise that a few less cars on the road is good. Radar – using RFID tags – very localised. Every product in your store. Inventory control and checkouts. A lot of stuff in healthcare I’m interested in. Data with doctors – assisted AI.

AK: 10 years ago I saw this documentary about sex tours in Cambodia. I couldn’t believe it. It’s happening in the US and all across the world. I felt like I wasn’t being a good human if I didn’t do something about it. I formed it with my ex-wife. Started running campaigns. 72% of the transactions were happening on-line. Maybe we could use technology to make it a bad business? Now we build technology to fight the sexual exploitation of children. 5 tools (software). Help law enforcement agencies prioritise their caseload. Can use some intelligence to go through the ads and perform some analysis. We built a dashboard that law enforcement can use. Through the last year we found 18000 (?) people that were being trafficked through the US. Dark web tool to extract information from the dark web. Bunch of deterrence programs for people looking for child pornography.

AD: Are we going to continue to see technology going in this direction?

AK: It’s a function of time. As these databases become stronger, more intelligent, I think what we’re going to find is that the arduous things we do are going to become automated. We’ll become an economy of happiness. Doing things that fulfil us and make us happy, not an economy based on earning and labour. There’s going to be a real inflection point as jobs get taken over by AI. People are going to feel a real infringement of privacy. As a celebrity I fight for privacy. Rise of AI, rise of decentralised networks. People need to get smart about this stuff. Otherwise we’re going to live in a future where computers will tell us what to do, it won’t be us telling them.

Many of you are technologists, used to technology disruption. What we’re seeing now is not just disruption, it’s a technology revolution.

Mechanisation and Steam Power

Mass Production

Computer and Automation

Cyber Physical

The initial tech was distributed, then consolidated (in large DCs or the cloud). The next step is going to be different. No longer about abstract data, now beginning to look at data generated by things of every day life. Where the physical world is meeting the digital world. Your car, your fridge, planes. We’re using data to gain insights and guide actions for positive outcomes. The physical world is not an abstract concept. Compute must be close to where the data is produced. Edge compute. The focus is also on enormous scale. Millions of mini DCs. Security is one of the most important elements, because it’s about the protection of something in the physical world.

Vast quantities of data being produced at the edge, so we’re becoming more aware of the concept of latency or, perhaps, responsiveness.

How do I build an ecosystem? Want something from end to end.

Examples: Agriculture, healthcare, and energy. Focus is on the outcome, not the technology. IoT is complex and new, and you want solutions. But you’re unique and special. Need to be able to work carefully with a broad ecosystem of partners. Making sure we can create open systems.

Ecosystem, Customers, Developers. Need to ensure that developers are empowered.

The industrial revolution has already begun. The shift to the edge requires new approaches to infrastructure (and management and operation). The world is a world of fast disruption, the pace is only going to increase. IoT used to be embedded systems. The difference is the mindset. Going to leverage the data to fundamentally change things. How is this a force for good? We’re constantly looking ahead. Not just this industrial revolution.

Micheal talked about the person-machine era. I want to talk about the other half of the story. If we want a relationship, we need to make those machines smart. How is machine intelligence going to enter our lives?

AD: We’ve seen the movies, which version do you think AI will most resemble?

JR: it’s not going to be the robot apocalypse. If we do it right, AI won’t be the story, the outcome will be. A thing that enables humanity to change.

AD: It’s a trick question

AK: It’s hard to say. There’s a lot of narrow AI that will launch in the short term various systems being replaced in specific ways. When general AI becomes more feasible – potential dramatic shift. Where the movie ends up will be different. A lot of jobs will be “pseudo-displaced” but other jobs will be created. Eg autonomous cars. “Pseudo class war”.

AD: Will your play yourself in the movie?

AK: No.

RO: I’m optimistic. The strength is when it’s a partner to the human. We’re mostly doing this in a useful way. It’s another tool in the toolbox.

AD: You hinted at the fifth industrial revolution.

RO: It’s a mindset change more than anything else. A fundamental shift in how things gets done. Like steam before it, data is powering the next revolution. I don’t think it’s going to be a sudden change.

AD: We talked about machines talking to machines.

RO: You already see a lot of machines talking to machines. Go into a modern factory. When you combine that with AI it becomes more interesting.

JR: Cloud Foundry. The next big gap in cloud native is service expression. Machines talking to machines – you need to solve the problem of common languages and APIs. That will be the biggest enabler I think.

AD: Final thoughts or comments?

JR: We are entering an era of human – machine partnership. Bringing the machines into the environment and making the machines smarter.

RO: I’m fundamentally excited about technology. When you look back over the last 10 years, it’s not stopping. The journey is continuing, there’s another transformation.

AK: All of this is really associated with the need to improve humanity. As these tools become better they’re really about improving our condition. Of all the startups I’m privileged to work on, my foundation is my greatest privilege. Solving a problem with the human condition. As we get wiser it’s important to use that knowledge and unleash it on behalf of humanity in a way that is greater than yourself. It’s far more rewarding. It just seems like it’s the right thing to do. These tools are built, and weaponised for good. And it’s all of our responsibility.

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disclaimer

The opinions expressed here are my personal opinions. Content published here is not read or approved in advance by my employer and does not necessarily reflect the views and opinions of my employers, previous or current. This is my blog.

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